PSYC 523: Statistics and Research Methods Flashcards
ANOVA
ANOVA stands for “analysis of variance” and it is a statistical procedure used in inferential statistics. ANOVAs test for significant differences among 2+ groups as well and main/interaction effects of the independent variable on the dependent variable.
Clinical vs. Statistical Significance
Clinical significance refers to when the results of a study are judged to be meaningful in relation to the diagnoses or treatments of disorders. Statistical significance refers to the actual results of the statistical analyses that aren’t attributed to the operation of chance or random factors.
Construct Validity
The degree to which a test or instrument is capable of measuring a concept, trait, or other theoretical entity. How well the variables in a study are defined, measured, or manipulated. The two main types of construct validity found in social science research are convergent validity, how well the measure correlates with other well-established measures of the same construct, and discriminant validity, how much the measure does not correlate with unrelated measures. A test should have both convergent and discriminant validity in order to have high construct validity.
Content Validity
The extent to which a test measures all facets of the subject matter or behavior that’s being studied. Content validity cannot be measured empirically/statistically, but rather is assessed through logical analysis.
Correlation vs. Causation
Correlation describes a relationship, either positive or negative, between variables. Causation refers to when changes in one variables bring about change in the other variable(s) (i.e. a cause and effect). A correlation is necessary to establish a causal relationship and only experimental studies can establish causal relationships.
Correlational Research
A type of research design in which relationships between variables are simply observed without any control over the setting in which those relationships occur. Correlational research does not contain any intentional manipulation of variables by the researcher. The correlation coefficient can range from -1.0 to 1.0 and describes the strength of the relationship, either in a positive or negative direction.
Cross-Sectional Design
A research design in which groups, who differ by one key characteristic (i.e. age or developmental level), are compared at a single point in time. A cross-sectional design is typically used to determine the prevalence of a condition.
Dependent t-test
This type of statistical procedure compares the means of two related groups to determine whether or not there is a statistically significant difference between those means.
Descriptive vs. Inferential
Descriptive statistics depict the main aspects of the sample data without inferring to a larger population (i.e. mean, media, mode, range, standard deviation within the sample). Inferential statistics all inferences about characteristics of a population to be drawn from a sample of data from that population, while controlling for error as much as possible.
Double-Blind Study
A type of research design in which neither the participants nor the researcher knows which treatment/intervention participants are receiving until the study is complete. A double-blind study eliminates the possibility of researcher bias toward a participant or group.
Ecological Validity
This refers to the degree to which results obtained from research are representative of conditions in the wider world. Research designs with higher ecological validity are assumed to be more generalizable in life outside the confines of research/treatment.
Effect Size
Effect size refers to the magnitude or meaningfulness of a relationship between two variables. The larger the effect size, the stronger the phenomenon. This is interpreted as indicating the practical significance of a research finding.
Experimental Research
This is a research design that utilizes randomized assignment of participants and a systematic manipulation of variables, while all other variables are, attempted to be, controlled. The objective of experimental research is to draw a causal inference (i.e. any change in the dependent variable was due to the manipulation of the independent variable).
Hypothesis
This is an empirically testable proposition about some fact, behavior, or relationship that is usually based on theory. The hypothesis states the expected outcome that will result from the research design’s conditions or assumptions.
Independent t-test
This type of statistical procedure compares the means of two independent groups in order to determine if the means are statistically different.